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Mastering Clojure

You're reading from   Mastering Clojure Understand the philosophy of the Clojure language and dive into its inner workings to unlock its advanced features, methodologies, and constructs

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Product type Paperback
Published in Mar 2016
Publisher Packt
ISBN-13 9781785889745
Length 266 pages
Edition 1st Edition
Languages
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Author (1):
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Akhil Wali Akhil Wali
Author Profile Icon Akhil Wali
Akhil Wali
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Toc

Table of Contents (14) Chapters Close

Preface 1. Working with Sequences and Patterns FREE CHAPTER 2. Orchestrating Concurrency and Parallelism 3. Parallelization Using Reducers 4. Metaprogramming with Macros 5. Composing Transducers 6. Exploring Category Theory 7. Programming with Logic 8. Leveraging Asynchronous Tasks 9. Reactive Programming 10. Testing Your Code 11. Troubleshooting and Best Practices A. References
Index

Processing data with reducers

We will now study a simple example that depicts the use of reducers in efficiently processing large collections. For this example, we will use the iota library (https://github.com/thebusby/iota) to handle large memory-mapped files. The usage of the iota library with large files is encouraged as an efficient alternative to using concrete collections. For example, loading the records in a 1 GB TSV file as strings into a Clojure vector would consume over 10 GB of memory due to the inefficient storage of Java strings. The iota library avoids this by efficiently indexing and caching the contents of a large file, and this is done with much lower amount of memory overhead when compared to using concrete collections.

Note

The following library dependencies are required for the upcoming examples:

[iota "1.1.2"]

Also, the following namespaces must be included in your namespace declaration:

(ns my-namespace
  (:require [iota :as i]
            [clojure.string :as...
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